Understanding Neural Networks Through Deep Visualization

22 June 2015

Jeff Clune

Papers citing "Understanding Neural Networks Through Deep Visualization"

48 / 298 papers shown

Title
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 33 682 0 06 Dec 2017
S4Net: Single Stage Salient-Instance Segmentation Ruochen Fan Ming-Ming Cheng Qibin Hou Tai-Jiang Mu Jingdong Wang Shimin Hu ISeg SSeg 33 85 0 21 Nov 2017
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 45 678 0 02 Nov 2017
Understanding Early Word Learning in Situated Artificial Agents Felix Hill S. Clark Karl Moritz Hermann Phil Blunsom LM&Ro 19 32 0 26 Oct 2017
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 42 210 0 17 Oct 2017
CNNComparator: Comparative Analytics of Convolutional Neural Networks Haipeng Zeng Hammad Haleem Xavier Plantaz Nan Cao Huamin Qu 25 31 0 15 Oct 2017
Spinal cord gray matter segmentation using deep dilated convolutions C. Perone Evan Calabrese Julien Cohen-Adad MedIm 27 113 0 02 Oct 2017
DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets Ali Mahdi Jun Qin FAtt 36 24 0 08 Sep 2017
Deep Feature Consistent Deep Image Transformations: Downscaling, Decolorization and HDR Tone Mapping Xianxu Hou Jiang Duan Guoping Qiu 29 28 0 29 Jul 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 35 82 0 29 May 2017
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks Zhuolin Jiang Viktor Rozgic Sancar Adali 3DPC 21 42 0 18 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 48 1,352 0 18 May 2017
Learning how to explain neural networks: PatternNet and PatternAttribution Pieter-Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller D. Erhan Been Kim Sven Dähne XAI FAtt 24 338 0 16 May 2017
Negative Results in Computer Vision: A Perspective Ali Borji 19 36 0 11 May 2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks Devinder Kumar Alexander Wong Graham W. Taylor 29 59 0 13 Apr 2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models Minsuk Kahng Pierre Yves Andrews Aditya Kalro Duen Horng Chau HAI 23 322 0 06 Apr 2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks Krzysztof J. Geras Stacey Wolfson Yiqiu Shen Nan Wu S. G. Kim Eric Kim Laura Heacock Ujas N Parikh Linda Moy Kyunghyun Cho 32 222 0 21 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 36 5,863 0 04 Mar 2017
On the Behavior of Convolutional Nets for Feature Extraction Dario Garcia-Gasulla Ferran Parés Armand Vilalta Jonathan Moreno Eduard Ayguadé Jesús Labarta Ulises Cortés Toyotaro Suzumura SSL 19 93 0 03 Mar 2017
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations Upol Ehsan Brent Harrison Larry Chan Mark O. Riedl 25 217 0 25 Feb 2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis L. Zintgraf Taco S. Cohen T. Adel Max Welling FAtt 40 706 0 15 Feb 2017
Synthesizing Normalized Faces from Facial Identity Features Forrester Cole David Belanger Dilip Krishnan Aaron Sarna Inbar Mosseri William T. Freeman 3DH CVBM 37 141 0 17 Jan 2017
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 31 352 0 14 Dec 2016
LOTS about Attacking Deep Features Andras Rozsa Manuel Günther Terrance E. Boult AAML 38 42 0 18 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer Xin Eric Wang Geoffrey Oxholm Da Zhang Yuan-fang Wang GAN OffRL 24 168 0 17 Nov 2016
VisualBackProp: efficient visualization of CNNs Mariusz Bojarski A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller Karol Zieba FAtt 36 74 0 16 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 59 1,001 0 07 Nov 2016
Understanding Convolutional Neural Networks with A Mathematical Model C.-C. Jay Kuo FAtt 21 371 0 14 Sep 2016
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 24 45 0 29 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou 18 118 0 22 Aug 2016
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations P. Schüffler Judy Sarungbam Hassan Muhammad E. Reznik S. Tickoo Thomas J. Fuchs 14 5 0 02 Aug 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks Felix Grün Christian Rupprecht Nassir Navab Federico Tombari SSL FAtt 38 76 0 24 Jun 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 26 2,320 0 21 Jun 2016
Using Visual Analytics to Interpret Predictive Machine Learning Models Josua Krause Adam Perer E. Bertini HAI 36 65 0 17 Jun 2016
Deep convolutional neural networks for predominant instrument recognition in polyphonic music Yoonchang Han Jae‐Hun Kim Kyogu Lee 27 202 0 31 May 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 31 5 0 30 May 2016
Deep Motif: Visualizing Genomic Sequence Classifications Jack Lanchantin Ritambhara Singh Zeming Lin Yanjun Qi 19 74 0 04 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 45 471 0 24 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 51 10,168 0 27 Mar 2016
Representation of linguistic form and function in recurrent neural networks Ákos Kádár Grzegorz Chrupała A. Alishahi 27 162 0 29 Feb 2016
Exploring the Neural Algorithm of Artistic Style Yaroslav Nikulin Roman Novak GAN 22 39 0 23 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 19 323 0 11 Feb 2016
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation S. Honari J. Yosinski Pascal Vincent C. Pal 30 121 0 23 Nov 2015
Representational Distance Learning for Deep Neural Networks Patrick McClure N. Kriegeskorte 27 48 0 12 Nov 2015
A Century of Portraits: A Visual Historical Record of American High School Yearbooks Shiry Ginosar Kate Rakelly Sarah Sachs Brian Yin Crystal Lee Philipp Krahenbuhl Alexei A. Efros 25 113 0 09 Nov 2015
Generic decoding of seen and imagined objects using hierarchical visual features T. Horikawa Y. Kamitani 17 444 0 22 Oct 2015
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 74 1,180 0 21 Sep 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012